Why I preferred Python Language for Data Science and Machine Learning, Part-1.
Being in the field of Data Science and building models in Machine learning I need to develop my skill, it may be for data gathering, data manipulation, data visualization, applying statistical methods on the data-sets and the most important part come that, it should be robust, easy to understand and implement on data.
Thus working on unpredictable real world data, the programming language have to be high-level language, which should have all solutions along with more qualities.Many programmer could choose language from a number of good options eg. java, C++, perl, PHP. But among this Python has its own unique solution while working on datasets or building Machine Learning model.
This blog will show why do I preferred Python. But first let’s know what is python.
Some Key Features of Python.
As Python is high level language, so programming it flexible, its number of syntax define in documentation, make it simple to code and understand. It dynamic, object oriented, many more feature which help it to use for vast domain application. Its ability to use modular component, this make python too flexible with other programming language by just importing in python.
Python has two version they are:
- Python 2x
- Python 3x
One can choose any of this, they slight differ from each other.
Some of the distinguish feature of python are list below:
> Python is fast and powerfull.
There huge number of python standard library which are as “batteries” for python lovers, this library help programmer to code from basic to advance functions in short and simple syntax. As the python is open source it free to use.
> Python are design to work with other Technologies.
Various component were design which help the coder to program on other language and technology in an intergrated mode.
> Python is portable.
Python scripts are design on to work on different operating system. There are also some version which help to work on .Net, Java Virtual Machine and Nokia S60. And there output are same as those other platforms.
> Python is Simple and Lovely.
Python has many third party tools, this make language sweet, easy and fun to code for coder.
> Python is open source.
Even though this tools are third party, they are free for use any user can use them for personel application.
Python support multiple kinds of Programms:
Python language are well design which help to deal with various feild of real world programming. The most common are listed below.
>System Programming.
Internal interface of Python are well design such that, operating system service such as files and directories operation, parallel programming, etc can be operate in python using standard library.
>Graphical User interfaces.
Object-oriented interface like Tkinter and C++ library base interface i.e wxPython are the basic interface for designing GUIs in Python. There are more high level interface which make work easier. Also tools as Qt, GTK, MFC and Swing are well popular.
>Network and Interface Programing.
There are numbers of modules provided in Python Standard Library, which can to be use to build network programs such as: client-server connection, socket programming, FTP, Telnet, email function etc.
Django, Turbo gear, Pylon, Zope and Web Ware are some of the which Python scripts support.
>Component integrity:
To from a integrated connection with its code and other component. This make python more popular, to import other language programs and use in python.
>Database Programming.
Python support number of database such as Sybase, Oracle, Informix, MySql, PostgreSql, SqLite etc. There are Predefine APIs help programmer to work with different database. Infact newer version from Python 2.5, make SQlite make standard part of python.
>Numerical Programming:
Python with Numpy, Make the programming to coder more easy and convenient, because Numpy provide tools which can be use for mathematical problem, with simple python syntax.
Conclusion:
This blog show why Python is becoming popular among data science aspiring . This section, it show what are two version of Python. Next we saw some of the keys features which make coder to code as fun. And further, Python is open source programs, ability to form integrated connection with other language and vast number of APIs which make Python easy to program, this make the reason that day by day Python community is growing. Most common user of Python: Google use python for search system, YouTube videos sharing service, BitTorrent peer-to-peer file sharing.
